Using the Median to Measure Performance for Social Media Marketers

Measuring performance is key for social media marketers. There is no reasonable way to predict performance without accurate numbers. Choose your methods of performance measurement wisely. Consider the issues when making inferences from data grabbed from social networks like Twitter.

As a marketer using social media you also have limited data to work. On Twitter you can count the numbers of Retweets, Favorites, Replies and Mentions. The numbers alone will not tell the entire story. You will need statistics related to distribution, which are valuable for performance evaluation.

The following discussion will be valuable for social media marketers. You will be able to account for the variability in your social media performance. Using the median provides another perspective on performance insulated from outliers.

The Limitations of Social Reach Revealed by Simple High School Statistics

Social media marketers are tasked with reporting the monthly performance of a marketing campaign. There are good social media KPIs, but they can be skewed by outliers.

Adjust you metrics when looking at daily, monthly, yearly numbers. You should account for variability in your data sample.

The Data Set

The data set used in this exercise was randomly generated. It replicates the performance of a highly influential Twitter account.

The median is the data point in the middle of your data set when you list their values in numerical order. If the data set has an odd number then the two numbers in the middle are averaged. In a sample, the median separates the bottom half of values from the top half of values.

Determining Social Media Performance on Twitter

Take a look at the frequencies of Total Daily Retweets and Total Daily Favorites by Day of the Month.

The line in green represents the mean.
The line in yellow represents the median.

Half of the lowest values are found in the range of 1,560 – 2,434
Half of the highest values are found in the range of 2,434 – 3,598

This is a box and whisker plot which shows the interquartile range. The median is represented by the black vertical line. The middle 50% of values of the data set are contained within the box. The ends at the extremes, the whiskers, represent the min and max values.

Quartiles for Favorites

Q1= 5,579
Q2= 6,187
Q3= 6,713

Half of the lowest values are found in the range of 5,579 – 6,187
Half of the highest values are found in the range of 6,187 – 6,713

This is a box and whisker plot which shows the interquartile range. The median is represented by the black vertical line. The middle 50% of values of the data set are contained within the box. The ends at the extremes, the whiskers, represent the min and max values.

The median also tells you the upper and lower limits from your sample. These are the outliers. They represent those data points which you would not expect based on your data set. Large variations in your monthly performance do not necessarily equate to these outlier points. That is why limits are so useful as an analytic tool. They only show you the unexpected values.

Upper and Lower Limits for Retweets

The purple line represents the lower limit.
The red line represents the upper limit.

You cannot rely on counts to determine those high and low performing status updates. The median gives you a method for determining those points using statistical methods.

Using the median, you know the following facts about your monthly Twitter performance.

You can expect a daily total of 2,434 Retweets and 6,187 Favorites.

At the worst, you can expect a daily total of at least 1,560 Retweets and 5,579 Favorites.

At the best, you could expect a daily total of 3,598 Retweets and 6,713 Favorites.

These measurements could be used as benchmarks to predict performance for the next month.

Investigate the outliers and determine what makes them different or special.

Account for the Variability of Social Media Performance with the Median

The median is just one way to think about performance in social media marketing. Use the median when you are looking at performance daily, weekly, monthly or yearly.

The unpredictability of social media inflates, or sometimes deflates, the mean. This is due to the variability of social data. This is why using the median is beneficial when investigating aggregate data.

Susan Silver is a community focused strategist who uses social data insights as the foundation of her work with ARCOMPANY. Her philosophy “Humanity in Data” is informed by a background in cognitive-behavioral psychology. She is making positive change in people’s lives, and the world, with thoughtful communication on behalf of her clients.

2 thoughts on “Using the Median to Measure Performance for Social Media Marketers”

I love this post Susan. I show clients how to use simple math to gauge how they are doing over time and how they are doing compared to competitors. Sadly you either are good at this already or you don’t want to do it. My favorite FB measure is how long it takes the average fan to interact with your brand on the page. It uses simple math and can be figured out in a minute. And you can tell who isn’t comfortable in the math world.

Howie Goldfarb I might steal that time to respond to an update metric 🙂 As much as I love tools that figure out things for me, the companies that make those tools don’t share their methodology. If you don’t know the methods than you don’t really know what you are measuring and if it is valid.

This month I’ve started culling the raw numbers from the accounts and doing my own math. It takes more time, but I am much more comfortable with results and reporting them to clients.